Articles | Volume 7, issue 3
https://doi.org/10.5194/wcd-7-1173-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wcd-7-1173-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A regime-based diagnosis of transition probabilities and changes in frequency and intensity of Indian Summer Monsoon rainfall
Bhupendra A. Raut
Environmental Science Division, Argonne National Laboratory, Lemont, IL-60439, USA
Aditi Deshpande
CORRESPONDING AUTHOR
Department of Atmospheric and Space Sciences, Savitribai Phule Pune University, Pune-411007, India
Devyani Kamble
Department of Atmospheric and Space Sciences, Savitribai Phule Pune University, Pune-411007, India
Sandip Ingle
Indian Institute of Tropical Meteorology, Ministry of Earth Sciences, Govt. of India, Pune-411008, India
Parmeshwar Naik
Skymet Weather Service Pvt Ltd, Department of Agrometeorology, Agricultural College, Pune-411005, India
Shwetal Walde
Symbiosis Institute of Geo-Informatics, Symbiosis International (Deemed University), Pune-411016, India
P. Pradeep Kumar
Department of Atmospheric and Space Sciences, Savitribai Phule Pune University, Pune-411007, India
Purnendranath Sen
Department of Atmospheric and Space Sciences, Savitribai Phule Pune University, Pune-411007, India
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Bhupendra A. Raut, Paytsar Muradyan, Rajesh Sankaran, Robert C. Jackson, Seongha Park, Sean A. Shahkarami, Dario Dematties, Yongho Kim, Joseph Swantek, Neal Conrad, Wolfgang Gerlach, Sergey Shemyakin, Pete Beckman, Nicola J. Ferrier, and Scott M. Collis
Atmos. Meas. Tech., 16, 1195–1209, https://doi.org/10.5194/amt-16-1195-2023, https://doi.org/10.5194/amt-16-1195-2023, 2023
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We studied the stability of a blockwise phase correlation (PC) method to estimate cloud motion using a total sky imager (TSI). Shorter frame intervals and larger block sizes improve stability, while image resolution and color channels have minor effects. Raindrop contamination can be identified by the rotational motion of the TSI mirror. The correlations of cloud motion vectors (CMVs) from the PC method with wind data vary from 0.38 to 0.59. Optical flow vectors are more stable than PC vectors.
Bhupendra A. Raut, Paytsar Muradyan, Rajesh Sankaran, Robert C. Jackson, Seongha Park, Sean A. Shahkarami, Dario Dematties, Yongho Kim, Joseph Swantek, Neal Conrad, Wolfgang Gerlach, Sergey Shemyakin, Pete Beckman, Nicola J. Ferrier, and Scott M. Collis
Atmos. Meas. Tech., 16, 1195–1209, https://doi.org/10.5194/amt-16-1195-2023, https://doi.org/10.5194/amt-16-1195-2023, 2023
Short summary
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We studied the stability of a blockwise phase correlation (PC) method to estimate cloud motion using a total sky imager (TSI). Shorter frame intervals and larger block sizes improve stability, while image resolution and color channels have minor effects. Raindrop contamination can be identified by the rotational motion of the TSI mirror. The correlations of cloud motion vectors (CMVs) from the PC method with wind data vary from 0.38 to 0.59. Optical flow vectors are more stable than PC vectors.
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Short summary
We present an unsupervised clustering methodology and post-clustering analysis framework that identifies recurring monsoon rainfall patterns and quantifies their transitions. Analysis reveals breaks are prolonged while monsoon depression are transient. The decomposition of frequency and intensity changes quantifies their contributions in long-term rainfall changes.
We present an unsupervised clustering methodology and post-clustering analysis framework that...